TR
EN
Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review
Öz
As COVID-19 rapidly spread all around the world, different methods have been proposed to explore the dynamics of the pandemic, understand the transmission mechanism, and assess the preventive measures. Mathematical models are frequently used worldwide to predict various parameters and develop effective policies for disease control. Compartmental models are the most popular mathematical models in epidemiology. These models divide the population into distinct groups (compartments) based on their status and describe the movement of an individual from one compartment to another. Various compartmental models and their variations have been developed to model the pandemic dynamics and measure the efficiency and necessity of different initiatives such as lockdowns, face masks, and vaccination. This paper provides a systematic literature review on different compartmental models proposed to model the COVID-19 pandemic. These models are discussed in detail based on the compartmental structure in the model, aim of the model, variables, and methodological approaches.
Anahtar Kelimeler
Kaynakça
- [1] J. Riou, and C. L. Althaus, “Pattern of early human-to-human transmission of Wuhan 2019 novel coronavirus (2019-nCoV), December 2019 to January 2020”, Euro Surveill, 25(4), 2020.
- [2] World Health Organization Web Page. (2023, January 6). https://covid19.who.int
- [3] X. Yu, L. Lu, J. Shen, J. Li, W. Xiao, and Y. Chen, “RLIM: a recursive and latent infection model for the prediction of US COVID-19 infections and turning points”, Nonlinear dynamics, 106, pp. 1397-1410, 2021.
- [4] H. Leite, I.R. Hodgkinson, and T. Gruber, “New development: ‘Healing at a distance’—telemedicine and COVID-19”, Public Money & Management, 40(6), pp. 483–485, 2020.
- [5] A. Hurajova, D. Kolllarova, and L. Juraj, “Trends in education during the pandemic: modern online technologies as a tool for the sustainability of university education in the field of media and communication studies”, Heliyon, 8(5), pp. 2405-8440, 2022.
- [6] C. S. M. Currie, J. W. Fowler, K. Kotiadis, T. Monks, B. S. Onggo, D. A. Robertson, and A. A. Tako, “How simulation modelling can help reduce the impact of COVID19”, Journal of Simulation, 14(2), pp. 83-97, 2020.
- [7] S. Khalilpourazari, and H.H. Doulabi, “Robust modelling and prediction of the COVID-19 pandemic in Canada”, International Journal of Production Research, 2021.
- [8] M. Liu, R. Thomadsen, and S. Yao, “Forecasting the spread of COVID-19 under different reopening strategies”, Scientific Reports, 10(2036), 2020.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Endüstri Mühendisliği
Bölüm
Derleme
Erken Görünüm Tarihi
31 Aralık 2023
Yayımlanma Tarihi
31 Aralık 2023
Gönderilme Tarihi
24 Kasım 2023
Kabul Tarihi
26 Aralık 2023
Yayımlandığı Sayı
Yıl 2023 Cilt: 6 Sayı: 2
APA
Yerinde, D., & Er, M. (2023). Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review. Bayburt Üniversitesi Fen Bilimleri Dergisi, 6(2), 254-267. https://doi.org/10.55117/bufbd.1395736
AMA
1.Yerinde D, Er M. Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review. Bayburt Üniversitesi Fen Bilimleri Dergisi. 2023;6(2):254-267. doi:10.55117/bufbd.1395736
Chicago
Yerinde, Deniz, ve Merve Er. 2023. “Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review”. Bayburt Üniversitesi Fen Bilimleri Dergisi 6 (2): 254-67. https://doi.org/10.55117/bufbd.1395736.
EndNote
Yerinde D, Er M (01 Aralık 2023) Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review. Bayburt Üniversitesi Fen Bilimleri Dergisi 6 2 254–267.
IEEE
[1]D. Yerinde ve M. Er, “Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review”, Bayburt Üniversitesi Fen Bilimleri Dergisi, c. 6, sy 2, ss. 254–267, Ara. 2023, doi: 10.55117/bufbd.1395736.
ISNAD
Yerinde, Deniz - Er, Merve. “Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review”. Bayburt Üniversitesi Fen Bilimleri Dergisi 6/2 (01 Aralık 2023): 254-267. https://doi.org/10.55117/bufbd.1395736.
JAMA
1.Yerinde D, Er M. Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review. Bayburt Üniversitesi Fen Bilimleri Dergisi. 2023;6:254–267.
MLA
Yerinde, Deniz, ve Merve Er. “Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review”. Bayburt Üniversitesi Fen Bilimleri Dergisi, c. 6, sy 2, Aralık 2023, ss. 254-67, doi:10.55117/bufbd.1395736.
Vancouver
1.Deniz Yerinde, Merve Er. Compartmental Models of the COVID-19 Pandemic: A Systematic Literature Review. Bayburt Üniversitesi Fen Bilimleri Dergisi. 01 Aralık 2023;6(2):254-67. doi:10.55117/bufbd.1395736